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Tesla’s 4680 cell production process outlined in Giga Berlin’s revised filings
Tesla’s revised documents for Gigafactory Berlin have been posted online, and they are a treasure trove of information. The documents provided some new details about Tesla’s planned 4680 battery plant in Gigafactory Berlin, which Elon Musk noted is on track to be one of the world’s largest battery production facilities. They also outlined how Tesla’s 4680 cells are produced.
While sections of the filing pertaining to the planned 4680 battery cell plant in Giga Berlin were blacked out due to sensitive information that could not be made public, the documents show some important tidbits about the upcoming facility. This includes the facility’s cell production operations over four floors, with anode and cathode production on the first floor and tabless cell production on the third floor. The battery plant is massive, requiring large foundations similar to Gigafactory Berlin’s Phase 1 zone.
Anode and cathode production in the 1st floor pic.twitter.com/tOoV4b3Iur
— Tobias Lindh (@tobilindh) June 18, 2021
Most importantly, Tesla also submitted a simplified diagram of its 4680 battery cell production process, though most of the diagram was blacked out in the revised filing’s public release. However, the company provided a brief overview of how its new battery cell will be produced in the upcoming facility (roughly translated through Google Translate).
“The battery the Gigafactory Berlin requires special systems and process steps. The anodes and cathodes consist of coated current collector foils. Copper is used as the material for the anode foil and aluminum is used for the cathode foil. The anode and cathode components are manufactured in mixed processes (A020-01 and A020-02), which only use materials in powder form. The new materials used are tested and approved in our own laboratory (A020-11).
“In order for the powder coating to adhere to the two films, they must first be pre-coated with a thin layer of adhesive (substrate) (A020-03 and A020-04). This substrate is delivered in containers. The pre-coating is necessary because a dry coating with powder takes place. After the anode and cathode components have been mixed, they are applied as a coating to the respective substrate-coated film in order to establish electrical contact (A020-05 and A020-06). The current collector foils, coated with the anode or cathode components, result in the finished anode or cathode.
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Page 239 pic.twitter.com/7gDk2fSeVy
— Giga Berlin / Gigafactory 4 (@gigafactory_4) June 18, 2021
The revised filings also provided a general idea of how Tesla’s tabless cell production works. Among these is the fact that the finished 4680 cells would be subjected to 10 days’ worth of curing after their formation.
“The anode or cathode is then cut to the required lengths with a laser in the “tabless process” (A020-08). The anode, the cathode and the separator are alternately placed one on top of the other and rolled up into a roll. This roller is then inserted into a metal housing, which is manufactured from steel rollers in a die-cutting and deep-drawing process (A020-07). In the assembly area, the final assembly and filling of the cell takes place with small amounts of electrolyte (approx. 10% of the cell weight) (A020-09).
“The electrolyte is absorbed by the electrode coatings and enables the lithium ions to move back and forth between the anode and cathode. The housing is then closed with a lid in a welding process. The last step is the formation (A020-10) of the cell. In the formation process, the cell is electrically started up by charging and discharging it under different temperature conditions. The finished cell remains in this area for approx. 10 days and is then put to further use. The cells produced are subjected to random quality control in our own laboratory (A020-11).”
A link to Tesla’s filings for Gigafactory Berlin could be found here.
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Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
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None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
